MGAC

MGAC (Modified Genetic Algorithm for Crystals) is a genetic algorithm package for molecular crystal structure prediction. MGAC2 is the updated version with improved algorithms.

7. STRUCTURE PREDICTION 7.1 Global Optimization & Evolutionary Algorithms VERIFIED
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Overview

MGAC (Modified Genetic Algorithm for Crystals) is a genetic algorithm package for molecular crystal structure prediction. MGAC2 is the updated version with improved algorithms.

Reference Papers

Reference papers are not yet linked for this code.

Full Documentation

Overview

MGAC (Modified Genetic Algorithm for Crystals) is a genetic algorithm package for molecular crystal structure prediction. MGAC2 is the updated version with improved algorithms.

Theoretical Basis

  • Genetic algorithm optimization
  • Molecular crystal handling
  • Conformational flexibility
  • Space group exploration
  • Force field evaluation

Key Capabilities

  • Molecular crystal CSP
  • Any space group
  • Multiple molecules per cell
  • Conformational flexibility
  • Parallel execution

Sources: J. Chem. Phys. 116, 5984 (2002), Chem. Phys. Lett. 623, 69 (2015)

Key Strengths

Molecular Crystals:

  • Designed for organic systems
  • Conformational flexibility
  • Multiple Z' values

Flexibility:

  • Any space group
  • Various force fields
  • Customizable operators

Track Record:

  • Long development history
  • Many publications
  • Validated methodology

Inputs & Outputs

  • Input formats: Molecular geometry, GA parameters
  • Output data types: Crystal structures, energies, population history

Interfaces & Ecosystem

  • Force fields: Various empirical potentials
  • DFT: Optional refinement
  • Analysis: Structure comparison

Workflow and Usage

  1. Prepare molecular geometry
  2. Configure GA parameters
  3. Select force field
  4. Run genetic algorithm
  5. Refine top structures

Performance Characteristics

  • Force field-limited
  • Good parallel scaling
  • Efficient for molecular crystals

Computational Cost

  • Force field: fast
  • DFT refinement: expensive
  • Parallelizable

Best Practices

  • Use appropriate force field
  • Enable conformational search
  • Refine with DFT
  • Compare with experiment

Limitations & Known Constraints

  • Force field accuracy
  • Molecular crystals only
  • Academic distribution

Application Areas

  • Pharmaceutical polymorph prediction
  • Organic crystal engineering
  • Molecular materials design
  • CSP blind tests

Comparison with Other Codes

  • vs GAtor: Similar purpose, different implementation
  • vs Genarris: MGAC includes optimization
  • Unique strength: Long history, molecular crystal focus

Community and Support

  • Academic development (Utah)
  • Published methodology
  • Available upon request

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/MGAC-group/MGAC2
  2. Publications: J. Chem. Phys. 116, 5984 (2002)

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Website: ACTIVE (GitHub)
  • Source: AVAILABLE
  • Development: MAINTAINED
  • Applications: Molecular crystal CSP

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